Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A method of providing a video call service, the method comprising: establishing a video call session between a first terminal of a first user and a second terminal of a second user who is a counterpart of the video call; detecting a gesture of the first user or the second user from a first video stream that captures the first user or from a second video stream that captures the second user, the second video stream being received from the second terminal; generating, based on the detected gesture, evaluation information about a counterpart of a user making the detected gesture, the counterpart having caused the detected gesture; and transmitting generated evaluation information to a server for providing a video call service.
This invention relates to video call services and addresses the challenge of evaluating user interactions during video calls. The method involves establishing a video call session between two users, each using their respective terminals. During the call, the system detects gestures made by either user from the video streams capturing them. These gestures are analyzed to generate evaluation information about the counterpart user who triggered the gesture. For example, if User A makes a gesture, the system evaluates User B based on that gesture. The generated evaluation information is then transmitted to a server managing the video call service. The system may also include additional steps such as storing the evaluation information in a database, displaying it to users, or using it to improve call quality or user matching. The invention aims to enhance video call experiences by providing real-time feedback on user interactions.
2. The method of claim 1 , wherein, in the generating of the evaluation information about the counterpart of the user making the detected gesture, emotion information or icon information corresponding to the detected gesture is generated as the evaluation information about the counterpart.
This invention relates to systems for evaluating user interactions, particularly in virtual or augmented reality environments where gestures are used for communication. The problem addressed is the lack of meaningful feedback when a user performs a gesture, making it difficult to assess how the gesture is perceived by others. The invention provides a method to generate evaluation information about a counterpart (another user or system) in response to a detected gesture. Specifically, when a gesture is detected, the system generates emotion information or icon information that corresponds to the detected gesture. The emotion information may include facial expressions, tone, or other indicators of emotional response, while the icon information may include symbols or visual cues representing the counterpart's reaction. This feedback helps users understand the impact of their gestures in real-time, improving communication and interaction in digital environments. The system may also analyze the context of the gesture, such as the environment or previous interactions, to refine the evaluation information. The generated information is then displayed or communicated to the user, enhancing their awareness of how their actions are perceived. This approach is particularly useful in collaborative virtual spaces, gaming, or social applications where non-verbal communication is critical.
3. The method of claim 1 , wherein, when the gesture of the first user is detected, the detecting of the gesture comprises detecting at least one gesture of facial expressions, body motions, and actions of the first user from the first video stream captured by the first terminal, the generating of the evaluation information about the counterpart comprises generating evaluation information about the second user based on the detected gesture, and the transmitting of the generated evaluation information to the server comprises transmitting the generated evaluation information about the second user to the server to correspond to a second user's account.
This invention relates to a system for evaluating a user's gestures in real-time video communication, addressing the need for automated analysis of non-verbal cues to assess participant behavior. The method involves capturing a video stream of a first user during a communication session, detecting gestures such as facial expressions, body motions, and actions from the stream, and generating evaluation information based on these detected gestures. The evaluation data is then transmitted to a server, where it is associated with a second user's account, enabling analysis of the second user's behavior during the interaction. The system may also involve additional steps, such as capturing a second video stream of the second user, detecting gestures from this stream, and generating evaluation information about the first user based on the second user's gestures. This allows for bidirectional assessment of participant behavior in real-time communication. The invention aims to provide automated, objective insights into non-verbal communication patterns, which can be used for applications such as training, feedback, or behavioral analysis.
4. The method of claim 3 , further comprising transmitting the generated evaluation information about the second user to the second terminal.
This invention relates to a system for evaluating user interactions in a networked environment, such as social media or online platforms, where user behavior is assessed and feedback is provided. The problem addressed is the need for automated evaluation of user interactions to improve engagement, trust, or platform safety by analyzing how users interact with each other and providing feedback to enhance behavior. The method involves monitoring interactions between a first user and a second user, where the first user evaluates the second user based on predefined criteria, such as reliability, responsiveness, or content quality. The system generates evaluation information based on this assessment, which may include scores, ratings, or qualitative feedback. This evaluation is then transmitted to the second user's terminal, allowing them to receive direct feedback on their interactions. The system may also store this evaluation data for future reference or further analysis. The evaluation process may involve automated analysis of interaction patterns, such as message frequency, response times, or content relevance, to generate objective metrics. Additionally, the system may incorporate user input to refine evaluations, ensuring a balanced approach between automated and subjective assessments. The transmitted evaluation information helps the second user understand how their behavior is perceived, promoting better engagement or compliance with platform guidelines. This feedback loop aims to improve user interactions and overall platform dynamics.
5. The method of claim 3 , further comprising: receiving evaluation information about the first user from the second terminal; and displaying the received evaluation information about the first user overlapping an area where the second video stream is displayed.
This invention relates to a system for evaluating users in a video communication environment, addressing the need for real-time feedback and transparency in user interactions. The system involves a first terminal generating a first video stream of a first user and a second terminal generating a second video stream of a second user. The first and second video streams are transmitted to a server, which processes and synchronizes them for display on both terminals. The system allows the second user to provide evaluation information about the first user, such as ratings or comments, which is then received by the server. This evaluation information is displayed on the second terminal, overlapping the area where the first user's video stream is shown, ensuring the second user can see the feedback in real-time while interacting with the first user. The system may also include additional features, such as storing evaluation data for future reference or allowing the first user to view their evaluations after the session. The invention enhances user accountability and feedback mechanisms in video communication platforms, improving interaction quality and trust.
6. The method of claim 1 , wherein, when the gesture of the second user is detected, the detecting of the gesture comprises detecting at least one gesture of facial expressions, body motions, and actions of the second user from the second video stream received by the second terminal, the generating of the evaluation information about the counterpart comprises generating evaluation information about the first user based on the detected gesture, and the transmitting of the generated evaluation information to the server comprises transmitting the generated evaluation information about the first user to the server to correspond to a first user's account.
This invention relates to a system for evaluating user interactions in a video communication environment. The problem addressed is the lack of automated tools to assess user behavior and reactions during video calls, which can be useful for training, feedback, or social analysis. The system involves a method where a second user's gestures are detected from a video stream captured by a second terminal. The detected gestures include facial expressions, body motions, and actions. Based on these gestures, evaluation information about the first user (the counterpart in the interaction) is generated. This evaluation information is then transmitted to a server and linked to the first user's account. The method ensures that the second user's reactions and gestures are analyzed in real-time or near real-time to provide insights about the first user's performance or behavior during the interaction. The system can be used in various applications, such as employee training, customer service evaluations, or social media interactions, where understanding user reactions is valuable. The evaluation data can be stored and accessed later for further analysis or feedback purposes.
7. The method of claim 6 , further comprising: displaying the generated evaluation information about the first user overlapping an area where the second video stream is displayed.
This invention relates to video communication systems, specifically improving user interaction by dynamically evaluating and displaying participant engagement. The problem addressed is the lack of real-time feedback on participant engagement in video conferences, which can hinder effective communication and collaboration. The method involves analyzing a first user's engagement level during a video conference by processing their video stream to detect visual cues such as gaze direction, facial expressions, and body posture. The system generates evaluation information, such as engagement scores or alerts, based on this analysis. This evaluation is then displayed in a way that overlaps the area where a second user's video stream is shown, ensuring the first user can see the feedback in context without disrupting the ongoing conversation. The display may include visual indicators like icons, color-coded overlays, or numerical scores that reflect the second user's engagement level. The system may also adjust the display based on the first user's own engagement to prioritize relevant feedback. The method enhances video communication by providing real-time, non-intrusive engagement insights, helping participants adapt their communication style for better interaction. The overlapping display ensures the feedback is easily accessible without obscuring critical parts of the video stream.
8. A server for providing a video call service, the server comprising: a communication interface configured to perform communication with a terminal supporting a video call; a storage; a processor; and a memory configured to store instructions that are executable by the processor, wherein the processor, by executing the instructions, receives, from the terminal, evaluation information about a user who caused a gesture made by a counterpart of the user, updates accumulated evaluation information and a reputation quotient corresponding to a user account stored in the storage, based on received evaluation information, and manages the video call service based on an updated reputation quotient.
This invention relates to a server system for managing a video call service with user reputation tracking. The system addresses the problem of ensuring quality interactions in video calls by allowing users to evaluate their counterparts' behavior, particularly gestures, and using these evaluations to manage service access. The server includes a communication interface for connecting with user terminals, a storage system, a processor, and memory storing executable instructions. When a user performs a gesture during a call, the system receives evaluation information from the counterpart about the gesture's appropriateness or impact. The server updates accumulated evaluation data and a reputation quotient for the user's account in storage. This reputation quotient is then used to manage the video call service, potentially restricting or prioritizing access based on the user's reputation. The system ensures that users with consistently positive evaluations maintain better service access, while those with negative evaluations may face limitations. The reputation tracking mechanism helps maintain a higher quality of interactions in the video call environment.
9. The server of claim 8 , wherein the processor receives emotion information or icon information corresponding to the gesture made by the counterpart of the user, as evaluation information about the user.
This invention relates to a server system for evaluating user interactions based on gestures and corresponding emotion or icon information. The system addresses the challenge of assessing user engagement and feedback in digital communication by analyzing gestures made by a counterpart during interactions. The server includes a processor that receives and processes this gesture data, along with associated emotion or icon information, to generate evaluation metrics about the user. This allows for real-time or post-interaction analysis of user performance, engagement, or emotional responses. The server may also store and retrieve historical interaction data to refine evaluations over time. The system is designed to enhance feedback mechanisms in applications such as virtual meetings, training simulations, or customer service platforms, where understanding user reactions is critical. By integrating gesture-based inputs with emotional or symbolic indicators, the server provides a more comprehensive assessment of user interactions compared to traditional text or voice-based feedback methods. The technology aims to improve user experience, training effectiveness, or service quality by leveraging non-verbal cues in digital environments.
10. The server of claim 9 , wherein the processor acquires the updated reputation quotient from updated accumulated evaluation information by varying a weight according to a type of the emotion information or a type of the icon information.
This invention relates to a server system that evaluates and updates reputation scores based on user feedback, particularly emotional responses and icon-based inputs. The system addresses the challenge of accurately assessing reputation in digital environments where traditional metrics (e.g., ratings) may not capture nuanced user sentiment. The server includes a processor that processes evaluation information from users, which may include emotion information (e.g., facial expressions, sentiment analysis) and icon information (e.g., emojis, symbols). The processor calculates a reputation quotient—a quantitative measure of reputation—by analyzing this feedback. The system dynamically adjusts the weight of different feedback types (e.g., giving more importance to negative emotions or specific icons) to refine the reputation quotient. The processor also updates the reputation quotient over time by incorporating new evaluation data. This involves recalculating the score with adjusted weights based on the type of feedback received. For example, a negative emotion may be weighted more heavily than a neutral one, or a "thumbs-down" icon may carry more significance than a "heart" icon. The system ensures that the reputation quotient remains relevant and accurate by continuously integrating new feedback with varying importance. This approach improves reputation assessment by accounting for the subjective nature of user feedback, providing a more nuanced and adaptive evaluation system.
11. The server of claim 8 , wherein the processor manages the video call service by providing a video call matching additional service for matching a plurality of users using the video call service based on the updated reputation quotient.
This invention relates to a server system for managing video call services, particularly focusing on enhancing user matching based on reputation metrics. The system addresses the problem of inefficient or unreliable user matching in video call platforms, where traditional methods may not account for dynamic user behavior or reputation changes. The server includes a processor that manages video call services by providing a video call matching service. This service matches users for video calls based on an updated reputation quotient, which is a dynamic metric reflecting user behavior, reliability, or other relevant factors. The reputation quotient is periodically updated to ensure accurate and current assessments. The matching service uses this updated reputation quotient to pair users more effectively, improving the quality and relevance of video call connections. Additionally, the server may include a communication interface for transmitting and receiving data related to the video call service, and a storage unit for storing user data, reputation quotients, and other relevant information. The system ensures that the reputation quotient is continuously updated to reflect the latest user interactions, allowing for real-time adjustments in user matching. This approach enhances user experience by prioritizing connections with higher-reputation users or those better suited to the service's objectives.
12. The server of claim 8 , wherein the processor manages the video call service by categorizing a plurality of users using the video call service based on the updated reputation quotient, and providing a user management additional service corresponding to each category to which each user belongs.
This invention relates to a server system for managing video call services based on user reputation. The system addresses the problem of ensuring fair and efficient service provision by dynamically categorizing users according to their reputation, which is derived from their behavior and interactions within the video call platform. The server includes a processor that updates a reputation quotient for each user based on predefined criteria, such as call quality, participation, or compliance with service rules. Users are then grouped into categories based on their reputation scores, and the server provides tailored management services to each category. For example, high-reputation users may receive priority access, enhanced features, or reduced restrictions, while low-reputation users may face limitations or additional monitoring. The system ensures that service quality is maintained by incentivizing positive behavior and mitigating disruptive actions. The processor also handles real-time adjustments to reputation scores and category assignments, allowing for adaptive management of the user base. This approach improves user experience, reduces abuse, and optimizes resource allocation within the video call service.
13. The server of claim 8 , wherein the processor transmits updated accumulated evaluation information or the updated reputation quotient to the terminal through the communication interface.
A system for evaluating and transmitting reputation data involves a server with a processor and a communication interface. The server receives evaluation information from multiple terminals, where each terminal provides input related to a target entity. The processor processes this evaluation information to generate an accumulated evaluation result, which is then used to calculate a reputation quotient for the target entity. The reputation quotient is a numerical or categorical representation of the entity's reputation based on the accumulated evaluations. The server stores this reputation quotient in a database and can update it as new evaluation information is received. The processor also transmits the updated accumulated evaluation information or the updated reputation quotient to the terminals through the communication interface, ensuring that the terminals receive the latest reputation data. This system enables real-time or periodic updates of reputation information, allowing terminals to access current evaluations of the target entity. The communication interface facilitates secure and efficient data transfer between the server and terminals, supporting various communication protocols. The system is designed to provide accurate and up-to-date reputation assessments for entities, which can be used in decision-making processes.
14. The server of claim 8 , wherein the storage stores, for each user account of each of a plurality of users using the video call service, a plurality of types of accumulated evaluation information, a reputation quotient corresponding to each accumulated evaluation information, and an overall reputation quotient reflecting all types of reputation quotients.
This invention relates to a server system for a video call service that manages user reputation based on multiple types of evaluation information. The system addresses the problem of assessing user trustworthiness in video call environments by tracking diverse reputation metrics and calculating an overall reputation score. The server stores, for each user account, multiple types of accumulated evaluation information, such as call quality ratings, user feedback, and behavioral metrics. Each type of evaluation information is associated with a reputation quotient, which quantifies the user's performance or behavior in that specific category. The server also computes an overall reputation quotient that aggregates all individual reputation quotients, providing a comprehensive trust score for each user. This approach allows the video call service to dynamically assess user reliability, enabling features like prioritizing high-reputation users in call connections or flagging low-reputation users for review. The system ensures fair and transparent reputation tracking by considering multiple evaluation dimensions, improving trust and security in the video call platform.
15. A non-transitory computer-readable storage medium storing instructions that are executable by a processor, the instructions comprising: instructions to establish a video call session between a first terminal of a first user and a second terminal of a second user who is a counterpart of the video call; instructions to detect a gesture of the first user or the second user from a first video stream that captures the first user or from a second video stream that captures the second user, the second video stream being received from the second terminal; instructions to generate, based on the detected gesture, evaluation information about a counterpart of a user making the detected gesture, the counterpart having caused the detected gesture; and instructions to transmit generated evaluation information to a server for providing a video call service.
This invention relates to video call systems that analyze user gestures to generate evaluation information about participants. The technology addresses the problem of assessing user behavior during video calls, such as in professional or social interactions, by automatically detecting gestures and generating feedback. The system establishes a video call session between two terminals, capturing video streams of both users. It processes these streams to detect gestures made by either participant. Based on the detected gesture, the system generates evaluation information about the counterpart user who triggered the gesture. For example, if User A makes a gesture, the system evaluates User B, the counterpart. The evaluation information is then transmitted to a server managing the video call service for further use, such as feedback, analytics, or user profiling. The system may analyze gestures like hand movements, facial expressions, or body language to infer engagement, interest, or other behavioral metrics. This approach automates the assessment of interpersonal dynamics during video calls, providing insights without manual intervention. The solution is particularly useful in applications like virtual meetings, customer service, or social networking, where understanding participant behavior is valuable.
Unknown
February 4, 2020
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